Emma Wiles
Isabel Anderson Career Development Professor, Information Systems
Assistant Professor, Information Systems
Selected Research Presentations
Wiles, E. Presentation of “Generative AI and Labor Market Matching Efficiency” at Yale Conference AI/ML Conference, New Haven, CT, 2024
Wiles, E. CMU Presentation of “Generative AI and Labor Market Matching Efficiency”, Carnegie Mellon University Mini-Conference on AI, Carnegie Mellon Block Center, 2024
Wiles, E. Presented “Generative AI and Labor Market Matching Efficiency”, Columbia’s Management, Analytics, and Data Conference, Columbia GSB, NYC, 2024
Wiles, E. Flash talk in “Digital Economics and AI”, NBER Summer Institute, Cambridge, MA, 2023
Wiles, E. Presentation of “Algorithmic Writing Assistance Increase Hires” at ZEW, ZEW Conference on the Economics of Information & Communication Technologies, Mannheim, Germany, 2023
Wiles, E. Presentation of “Algorithmic Writing Assistance Increases Hires”, Wharton, Conference on Business & AI, 2023
Wiles, E. Labor and Employment Relations Association Session, Presentation of “Workers Response to Price Uncompetitiveness: Evidence from a Field Experiment”, ASSA/AEA, 2023
Publications
Wiles, E., Krayer, L., Abbadi, M. (In Press). “GenAI as an Exoskeleton: Experimental Evidence on Knowledge Workers Using GenAI on New Skills”, Nature Human Behaviour
van Inwegen, E., Munyikwa, Z., Horton, J. (In Press). “Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires”, Management science
Wiles, E. (2025). “GenAI Doesn’t Just Increase Productivity. It Expands Capabilities.”, BCG White Paper
Wiles, E., Horton, J. (2024). “Early insights into the labor market effects of Generative Artificial Intelligence”, Economic Innovation Group
Wiles, E., Krayer, L. (2024). “GenAI as an ‘exoskeleton’: How it expands your workforce’s capabilities”, Fortune Magazine
Wiles, E., Horton, J. (2024). “Early insights into the labor market effects of Generative Artificial Intelligence”, Economic Innovation Group
Jardim, E., Long, M., Plotnick, R., Vigdor, J., Wiles, E. (2024). “Local minimum wage laws, boundary discontinuity methods, and policy spillovers”, Journal of Public Economics, 234 105131-105131
Wiles, E. (2024). “Artificial Intelligence and Labor Market Matching”,
Wiles, E. (2023). “Algorithmic writing assistance on résumés increases hires”, UK’s Chartered Institute of Personnel and Development
Jardim, E., Long, M., Plotnick, R., van Inwegen, E., Vigdor, J., Wething, H. (2022). “Minimum-Wage Increases and Low-Wage Employment: Evidence from Seattle”, American Economic Journal: Economic Policy, 14 (2), 263-314